Ayesha Saif

Data Scientist

Ayesha Saif

Data Scientist

Ayesha Saif

Data Scientist

Available for work

Hi! I'm

Ayesha

part problem-solver, part storyteller. I break down business challenges with data and help teams act with confidence.

(2022 – PRESENT)

I'm dedicated to analyzing complex problems and delivering clear, actionable insights that drive impactful results.

View my resume

Exploratory
Data Analysis
Artificial
Intelligence
KPI
Reporting
Data
Visualization
Big
Data
Cloud
Computing
Artificial
Intelligence
Statistical
Analysis
Predictive
Modelling
Market
Analysis
Time
Series Forecasting
ETL

Exploratory
Data Analysis
Artificial
Intelligence
KPI
Reporting
Data
Visualization
Big
Data
Cloud
Computing
Artificial
Intelligence
Statistical
Analysis
Predictive
Modelling
Market
Analysis
Time
Series Forecasting
ETL

Exploratory
Data Analysis
Artificial
Intelligence
KPI
Reporting
Data
Visualization
Big
Data
Cloud
Computing
Artificial
Intelligence
Statistical
Analysis
Predictive
Modelling
Market
Analysis
Time
Series Forecasting
ETL

{01} — Experience

Career Snapshot

Analysis

Labelmaster, United States - Data Scientist

Performed EDA on transactional, PPC, and SEO data with Python and Spark, uncovering revenue trends and reducing keyword bidding costs by 15% through optimized paid vs. organic allocation.
Implemented Apriori-based association rule mining to identify co-purchased items, boosting cross-sell conversions by 10%.
Employed NLP to refine SEO keyword strategies, increasing high-intent targeting effectiveness by 12%.
Delivered data-driven presentations that aligned marketing and product teams on updated bundling and spending strategies.

Jan 2025 - June 2025

Analysis

Labelmaster, United States - Data Scientist

Performed EDA on transactional, PPC, and SEO data with Python and Spark, uncovering revenue trends and reducing keyword bidding costs by 15% through optimized paid vs. organic allocation.
Implemented Apriori-based association rule mining to identify co-purchased items, boosting cross-sell conversions by 10%.
Employed NLP to refine SEO keyword strategies, increasing high-intent targeting effectiveness by 12%.
Delivered data-driven presentations that aligned marketing and product teams on updated bundling and spending strategies.

/3-5 weeks/

Analysis

Labelmaster, United States - Data Scientist

Performed EDA on transactional, PPC, and SEO data with Python and Spark, uncovering revenue trends and reducing keyword bidding costs by 15% through optimized paid vs. organic allocation.
Implemented Apriori-based association rule mining to identify co-purchased items, boosting cross-sell conversions by 10%.
Employed NLP to refine SEO keyword strategies, increasing high-intent targeting effectiveness by 12%.
Delivered data-driven presentations that aligned marketing and product teams on updated bundling and spending strategies.

Jan 2025 - June 2025

Analysis

Sofy, United States - Data Scientist

Streamlined deployment by 60% with Docker containerization and Kubernetes orchestration on Azure, ensuring scalability.
Improved data processing efficiency by 30% using Azure Data Factory and Spark to automate real-time pipelines, accelerating insights across departments.
Increased campaign ROI by 25% using a Random Forest regressor to forecast marketing performance, optimizing resource allocation.
Achieved 92% churn model accuracy by building a Gradient Boosting classifier with hyperparameter tuning, reducing churn by 15%.

Jun 2023 - Dec 2024

Analysis

Sofy, United States - Data Scientist

Streamlined deployment by 60% with Docker containerization and Kubernetes orchestration on Azure, ensuring scalability.
Improved data processing efficiency by 30% using Azure Data Factory and Spark to automate real-time pipelines, accelerating insights across departments.
Increased campaign ROI by 25% using a Random Forest regressor to forecast marketing performance, optimizing resource allocation.
Achieved 92% churn model accuracy by building a Gradient Boosting classifier with hyperparameter tuning, reducing churn by 15%.

/3-5 weeks/

Analysis

Sofy, United States - Data Scientist

Streamlined deployment by 60% with Docker containerization and Kubernetes orchestration on Azure, ensuring scalability.
Improved data processing efficiency by 30% using Azure Data Factory and Spark to automate real-time pipelines, accelerating insights across departments.
Increased campaign ROI by 25% using a Random Forest regressor to forecast marketing performance, optimizing resource allocation.
Achieved 92% churn model accuracy by building a Gradient Boosting classifier with hyperparameter tuning, reducing churn by 15%.

Jun 2023 - Dec 2024

Build

Pumpjack Dataworks, Pakistan - MLOps Engineer

Reduced deployment time by 75% by implementing CI/CD pipelines with Docker and Git, enabling 5+ scalable AWS deployments.
Utilized K-Nearest Neighbors to categorize safety incidents by location, identifying 5 critical job hazard areas for targeted intervention.
Implemented the Random Forest algorithm to accurately classify safety incidents based on keyword searching from their descriptions, achieving 85% accuracy in automatically routing them to relevant departments.

Jan 2022 - May 2023

Build

Pumpjack Dataworks, Pakistan - MLOps Engineer

Reduced deployment time by 75% by implementing CI/CD pipelines with Docker and Git, enabling 5+ scalable AWS deployments.
Utilized K-Nearest Neighbors to categorize safety incidents by location, identifying 5 critical job hazard areas for targeted intervention.
Implemented the Random Forest algorithm to accurately classify safety incidents based on keyword searching from their descriptions, achieving 85% accuracy in automatically routing them to relevant departments.

/3-5 weeks/

Build

Pumpjack Dataworks, Pakistan - MLOps Engineer

Reduced deployment time by 75% by implementing CI/CD pipelines with Docker and Git, enabling 5+ scalable AWS deployments.
Utilized K-Nearest Neighbors to categorize safety incidents by location, identifying 5 critical job hazard areas for targeted intervention.
Implemented the Random Forest algorithm to accurately classify safety incidents based on keyword searching from their descriptions, achieving 85% accuracy in automatically routing them to relevant departments.

Jan 2022 - May 2023

Microsoft Learn Student Ambassador

Jan 2021

Issued by Microsoft

Microsoft Learn Student Ambassador

Jan 2021

Issued by Microsoft

Microsoft Learn Student Ambassador

Jan 2021

Issued by Microsoft

{02} — Featured projects

I translate business needs into smart solutions

View my resume

{

Business Analysis Project

}

4/4/25

Sales Analysis using Tableau

Business Analysis & Visualization

{

Business Analysis Project

}

5/8/24

Sentiment Analysis using TensorFlow

NLP, Deep Learning & Financial Sentiment Analysis

{

Healthcare Analytics

}

7/14/25

COVID 19 Analysis, Visualization & Forecasting

Data Science & Predictive Analytics

{

Big Data

}

2/13/24

Crime Classification using PySpark

Big Data Analysis

{

Cloud Architecture

}

4/4/25

Serverless Data Pipeline on AWS & Snowflake

EchoStream Entertainment

Data Engineering / Cloud ETL

UI/UX design

{03} — Tools & Skills

My Analytical Toolkit

{03} — Tools & Skills

My Analytical Toolkit

{03} — Tools & Skills

My Analytical Toolkit

Python

Data science and scripting language

Python

Data science and scripting language

Python

Data science and scripting language

R

Statistical computing and visualization

R

Statistical computing and visualization

R

Statistical computing and visualization

SQL

Structured query language for relational data management

SQL

Structured query language for relational data management

SQL

Structured query language for relational data management

NoSQL

Flexible databases for unstructured and semi-structured data

NoSQL

Flexible databases for unstructured and semi-structured data

NoSQL

Flexible databases for unstructured and semi-structured data

Excel

Spreadsheet tool for analysis

Excel

Spreadsheet tool for analysis

Excel

Spreadsheet tool for analysis

Power BI

Interactive business intelligence tool

Power BI

Interactive business intelligence tool